atlas by clearpeople

AI Glossary of Terms

The AI technology space is expanding rapidly and with that a whole new vocabulary needs to be learned. I have gathered many of those that I come across on a frequent basis (I actually maintain this as an internal resource in our company as well). For now, I have split into Generic AI terms; Semantic Kernel; Microsoft Copilot; and Advanced Terms.

Please let me know if have missed a term that you feel should be on the list.

Generic AI terms

Large Language Models (LLMs): Advanced AI models capable of understanding and generating human-like text based on the input they receive.

GPT and GAI (Generative Artificial Intelligence): Advanced AI models and techniques used for generating content.

Azure OpenAI Service: The cloud service where the LLMs used for Microsoft 365 Copilot are hosted.

DALL-E: An AI model developed by OpenAI for generating images from textual descriptions.

Prompts: User queries or questions that Microsoft 365 Copilot responds to using the sophisticated map.

Prompt Engineering: The process of designing and optimizing prompts to get desired outputs from AI models.

Vector: A mathematical representation that combines phrases, meanings, relationships, and context of data.

Vector Database: A database designed to store and manage vector data, which can be used in conjunction with embeddings. 

Embeddings: Embeddings are a type of word representation that captures the semantic meaning of words based on their context in a high-dimensional space. In machine learning and natural language processing, embeddings transform discrete categorical variables (like words) into continuous vectors of fixed dimensions. These vectors capture semantic relationships between words, meaning that words with similar meanings tend to have vectors that are close to each other in this space.

AI Learning Resources for Knowledge, Information and Intranet Managers

There is a lot of information out there about AI and in particular Generative AI - and locating a few decent learning courses for beginners can feel a bit daunting. 

Public ChatGPT vs Atlas Prometheus

You may be one of the many pondering over this question: How do I provide access to ChatGPT (or other LLM type of AI) while protecting your IP (intellectual property) and governing the results.

And it is clear, you are not alone, as we are seeing an big increase in enquiries from Atlas customers -and prospective customers - looking to understand how to deliver safe and useful approaches for their users to engage with AI, and therefore would like to understand more about Atlas Prometheus.

Overview of Bing Chat Enterprise

Microsoft today (July 18 2023) announced Bing Chat Enterprise, an AI-powered chat solution for businesses. Bing Chat Enterprise is rolling out in preview today and is included at no additional cost in Microsoft 365 E3, E5, Business Standard and Business Premium. Microsoft announced that in the future, it will be available as a stand-alone offering for $5 per user, per month.

Get your people and content ready for Microsoft 365 Copilot

The hype and buzz created by the release of ChatGPT 3.5, followed by announcements of Microsoft's investments in OpenAI and Microsoft 365 Copilot (M365 Copilot), was unprecedented and was obviously incredibly interesting to follow and be part of.

What has followed has been equally interesting. After the initial jaw drops and eyes-wide-open reactions we've been speaking to a number of organisations, and we've learned that a general consensus is taking shape.

While the use of AI within organisations is inevitable, there are real concerns and questions around trust, risk and security – and a realisation that you need to get organised first. In other words, before leveraging M365 Copilot in earnest, it is clear to all that we must first have content managed and under control. We also need to understand how to prepare our colleagues to work – or not work – with this technology.

Conversational Knowledge: What it is and how to unleash digital conversations in Yammer and MS Teams?

In today's fast-paced and interconnected world, knowledge is a valuable asset that drives innovation, decision-making, and organizational success. Traditionally, knowledge has been captured through formal documentation and structured systems. However, there is a growing recognition of the importance of conversational knowledge.

AI and Information Governance

With so much information available about Governance when it comes to Artificial Intelligence (AI), people have been turning to AI to help them collate and provide a suitable response. And why not, this is one of the benefits we’ve been promised, AI that will help us to be more efficient and productive. Enabling us to focus on the higher value tasks. So, what’s the problem, we’re just doing what we’ve been told to do, do more with less.

Everything you need to know about Microsoft 365 Copilot

Microsoft 365 Copilot (M365 Copilot or Copilot) is a new feature that helps you work smarter and faster with the power of artificial intelligence (AI).

In today's fast-paced business landscape, efficiency and productivity are paramount. Organizations are constantly seeking ways to streamline their workflows and optimize time. Enter Microsoft Copilot, a ground-breaking AI-powered tool designed to revolutionize the way we all work.

In this comprehensive blog (updated 18 July 2023 with pricing), we will delve into the key features, availability, pricing, benefits and much more, helping you make an informed decision about integrating this game-changing solution into your business. Once you have read this, you might want to read about how to Get your People and Content Ready for Microsoft 365 Copilot.

Calling Azure OpenAI API in stream mode from an SPFx solution

As mentioned in my previous article, we have integrated ChatGPT in our Atlas product. This was both challenging and fun. The OpenAI API is well documented, so is the Azure OpenAI service. However, one of the things that is not completely documented, is the Stream option. This allows you to call the API and get the response as a stream of data, so you are getting data from the very first second, and you don´t have to wait for the entire response. Note that depending on your request, ChatGPT can take some seconds until you get the response, so from a UX point of view, it is potentially a better experience if you start showing data while the response is fully completed.

Using OpenAI NodeJS library in SharePoint calling Azure OpenAI service

Unless you are in a desert island with no internet connection, you have heard about ChatGPT. In its own words (and I really mean it, as I have asked ChatGPT for a short summary about it):